Hacker News: cheald

New comment by cheald in "PR spam today looks like email spam in the early 2000s"

cheald — Wed, 24 Jun 2026 17:11:00 +0000

A robust open source profile is my single favorite hiring profile indicator. However, with the current state of things, if I get a whiff of AI-driven "contribution" it becomes an instant black mark against the candidate.

New comment by cheald in "Uber, Lyft drivers in Massachusetts form first US ride-share union"

cheald — Tue, 26 May 2026 19:43:15 +0000

So far I've been impressed enough with the HW4 Teslas that I haven't had them do anything that I had to intervene to correct or prevent. It's pretty amazing at how well it handles all kinds of things - construction, weird merges, road debris. This morning, there was a tire in the middle of the road, which caused traffic ahead of me to slam to a halt. Mine had to brake hard enough that ABS engaged, and then navigated around the tire. I was impressed.

New comment by cheald in "Show HN: Number Gacha, a gacha game distilled to its essence"

cheald — Tue, 19 May 2026 01:58:19 +0000

Very fun! There seems to be an exception when using the 10-roll function that might need some attention.

    index-BwvgcC1c.js:62 Uncaught TypeError:
      C is not a function at zi (index-BwvgcC1c.js:62:150798)

Those lines of code are:

    for (var oe = [], ce = 0; ce < 10; ce++)
      oe.push(C());

New comment by cheald in "Xs of Y – roguelike that names itself every run. Written in 4kLoC"

cheald — Wed, 13 May 2026 21:54:29 +0000

"Applied theology with inadequate safety margins" might just be my favorite difficulty description ever.

New comment by cheald in "Claude-powered AI coding agent deletes company database in 9 seconds"

cheald — Mon, 27 Apr 2026 19:15:43 +0000

If you wouldn't give it to an enthusiastic junior dev, don't give it to AI, period.

New comment by cheald in "Peptides: where to begin?"

cheald — Mon, 06 Apr 2026 22:24:20 +0000

Hang out at a BJJ or MMA gym for a bit, and you'll find plenty. Peptides are really popular in combat sports circles, with good reason.

New comment by cheald in "Peptides: where to begin?"

cheald — Mon, 06 Apr 2026 22:22:29 +0000

I used a combo of low-dose retatrutide, tesamorelin, and ipamorelin and lost about 15lb over 45 days, including 60% of my visceral fat, and put on 4lb of muscle, per before-and-after DEXA scans. I lifted regularly, ate well, and prioritized protein, and while I definitely under-ate protein, I was very pleased to find that I was able to increase muscle mass while cutting the fat. My visceral fat was the primary target here, since I'd been unable to get it to budge despite consistent training and diet. Very pleased.

New comment by cheald in "A million new SpaceX satellites will destroy the night sky"

cheald — Wed, 01 Apr 2026 16:30:48 +0000

It's actually very easy to cool in deserts, because low humidity makes it very easy to move heat into the ambient air. You have to contend against ambient temperatures, but that's what insulation is for. The other big things you need for datacenters are reliable power and a low probability of infrastructure-disrupting natural disasters.

New comment by cheald in "TinyLoRA – Learning to Reason in 13 Parameters"

cheald — Wed, 01 Apr 2026 15:16:16 +0000

I've done a lot of exploratory work with Stable Diffusion LoRAs, and I actually do buy that there's some juice here, though it's almost certainly not nearly as good as other techniques can be. In particular, this technique will likely avoid the intruder dimension problem which plagues naive LoRA. SVD is expensive, but you only have to do it once at the beginning of training.

I haven't done much research lately, but when I was working on it, I was having substantial success training an adapter of the form U_k @ P @ A, where U_k was the top k left singular vectors of the underlying weight, and then P and A were your typical LoRA projection matrices.

The 13 parameters are kind of misleading here; the real juice is going to be in the P_i fixed random matrices. My suspicion is that they are overfitting to the benchmark, but they almost certainly are observing a real gain in model capacity that is largely due to avoiding the intruder dimension problem.

New comment by cheald in "Thousands have swooned over this MAGA dream girl. She's made with AI"

cheald — Fri, 20 Mar 2026 19:15:50 +0000

Have you not seen Instagram lately? It's overwhelmingly clogged by AI content, much of it masquerading as real people.

New comment by cheald in "AI chatbots often validate delusions and suicidal thoughts, study finds"

cheald — Wed, 18 Mar 2026 18:43:45 +0000

It's best to think of instruct-tuned LLMs as mirrors rather than intelligences. They generally reflect what you're putting into them, but they do it in a way that can easily masquerade as wisdom. I think this makes it really easy for people to self-delude.

New comment by cheald in "Mamdani to kill the NYC AI chatbot caught telling businesses to break the law"

cheald — Fri, 30 Jan 2026 21:23:22 +0000

Remember that many people are heavily are happy-path biased. They see a good result once and say "that's it, ship it!"

I'm sure they QA'd it, but QA was probably "does this give me good results" (almost certainly 'yes' with an LLM), not "does this consistently not give me bad results".

New comment by cheald in "Instabridge has acquired Nova Launcher"

cheald — Tue, 20 Jan 2026 20:19:01 +0000

I guess mine hasn't updated yet. I'm a paid user, but I'll be migrating elsewhere. What a disappointment.

New comment by cheald in "Instabridge has acquired Nova Launcher"

cheald — Tue, 20 Jan 2026 19:35:23 +0000

Nova has been my favorite launcher for years, but after this, I may have to look elsewhere. Even as a paid user, I don't have much confidence that I'm not being sold off for ad exploitation.

New comment by cheald in "Nvidia Stock Crash Prediction"

cheald — Tue, 20 Jan 2026 18:31:22 +0000

Technical analysis is the projection of future price data through analysis of past price data (usually for the purpose of trying to create trendlines or find "patterns"). Options pricing is quite a different beast - it encodes marketwide uncertainty about the future price of the underlying, which has little to do with the past price action of the underlying, and everything to do with all known information about the actual underlying company, including fundamentals analysis, market sentiment, future expectations and risks, etc.

To put it another way, to price an option I need a) the current price of the underlying, b) the time until option expiry, c) the strike price of the option, and d) the collective expectation of how much the underlying's price will vary over the period between now and expiry. This last piece is "volatility", and is the only piece that can't be empirically measured; instead, through price discovery on a sufficiently liquid contract, we can reparameterize the formula to empirically derive the volatility expectation which satisfies that current price (or "implied volatility"). Due to the efficient market hypothesis, we can generally treat this as a best-effort proxy for all public information about the underlying. None of this calculation requires any measurement or analysis of the underlying's past price action, patterns, etc. The options price will necessarily include TA traders' sentiments about the underlying based on their TA (or whatever else), just as it will include fundamentals traders' sentiments (and, if you're quick and savvy enough, insiders' advance knowledge!) The price fundamentally reflects market sentiment about the future, not some projection of trends from the past.

New comment by cheald in "Nvidia Stock Crash Prediction"

cheald — Tue, 20 Jan 2026 17:36:00 +0000

This isn't technical analysis, this is an article on how to use the options market's price discovery mechanism to understand what the discovered price implies about the collective belief about the future price of the underlying.

New comment by cheald in "Nvidia Stock Crash Prediction"

cheald — Tue, 20 Jan 2026 17:33:10 +0000

The entire options market is built on this kind of analysis.

New comment by cheald in "Ask HN: What are your best purchases under $100?"

cheald — Fri, 16 Jan 2026 17:41:18 +0000

Thank you so much for this. I am absolutely gonna pick up a couple of these for my kids. What a great way to offer creativity on demand!

New comment by cheald in "I spent a year on Linux and forgot to miss Windows"

cheald — Thu, 15 Jan 2026 16:09:41 +0000

Arc Raiders runs great. ProtonDB is the right thing to check to find out if any given game is gonna run on Linux. Fortunately, the success of the Steam Deck has more and more devs playing ball.

You could just buy another SSD and install Linux on that. Then, you have your Windows drive left untouched and pristine so you can swap back if you want, or you can pull data over as needed.

New comment by cheald in "Instagram AI Influencers Are Defaming Celebrities with Sex Scandals"

cheald — Tue, 13 Jan 2026 21:57:36 +0000

"Local man uses AI to try slightly different casserole recipe" just doesn't have that click-driving wow factor.